What is video-analyzer
video-analyzer is an open-source video analysis tool that combines Llama's 11B vision model and OpenAI's Whisper model to extract video keyframes, transcribe audio content, and generate detailed descriptions of videos. The tool supports fully local operation, requiring no cloud services or API keys, or it can use OpenRouter's LLM service to improve processing speed and scalability. video-analyzer supports users in conducting in-depth analysis of video content and can be applied to a variety of scenarios, including surveillance, advertising analysis, and content classification.
Main features of video-analyzer
- Local video analysis: Processes videos in a local environment without cloud services or API keys.
- Keyframe extraction: Intelligently extracts keyframes from videos.
- Audio transcription: Uses OpenAI's Whisper model for high-quality audio transcription.
- Natural language description: Generates detailed descriptions of video content.
- Audio processing: Automatically processes low-quality audio.
Technical principles of video-analyzer
- Frame extraction and audio processing：
- The OpenCV library extracts keyframes from videos.
- The Whisper model processes audio, performs transcription, and handles low-quality audio.
- Frame analysis：
- The Llama-based 11B vision model analyzes each keyframe and extracts visual information.
- During analysis, the context of the previous frame is considered to maintain continuity of the video content.
- Video reconstruction：
- The frame analysis results are combined in chronological order to form a frame-by-frame description of the video.
- Integrates the audio transcription content and uses the first frame of the video to set the scene background.
- Creates a comprehensive video description, including both visual information and audio information.
Project address of video-analyzer
- GitHub repository：https://github.com/byjlw/video-analyzer
Application scenarios of video-analyzer
- Content moderation: Automatically analyzes video content, helping content moderation teams quickly identify and handle inappropriate content.
- Video content management: Generates metadata and descriptions for video libraries, facilitating content retrieval and management.
- Education and training: Analyzes educational video content, automatically generates course summaries and key points, and assists teaching.
- Security monitoring: Analyzes surveillance videos, identifies abnormal behavior or events, and improves security response speed.
- Media and entertainment: Automatically generates script summaries for movies and TV programs, assisting editing and post-production.